Synopsis

The Trust survey is conducted all over the world to find citizen’s trust on public organizations and professions. The trust data was collected in Nepal, in 2014 with about 2400 respondents. The respondents were selected from 48 different Village Development Committees (VDCs) of different constituencies across the country. The respondents were selected from the voter’s list. These data was entered into the computer and saved to different filenames for each constituencies.

Here, the data is read, merged, cleaned and frequency tables and plos are generated for Exploratory analysis.

Read all individual SPSS files

All the data files from differnt constituencies are fed to the analysis.

#list all files in current working directory
fileList<-dir()
#SPSS files have .sav extension. filter files with .sav
fileList<-fileList[grep(".sav",fileList)]
#read first file to make initial data frame
#data<-read.spss(fileList[1],to.data.frame=TRUE,reencode='utf-8')
#Keep all but first file already read
#fileList<-fileList[2:length(fileList)]

Only one file is available so skip other files

#read.spss gives warnings, but it can be safely ignored
#for(file in fileList) {
#    readData<-read.spss(file,to.data.frame=TRUE,reencode='utf-8')
#    data<-rbind(data,readData[,1:202])
#}

Since we have merged all data to one file, we can also skip above steps and read only one merged file. In this case however, We have read individual files instead of merged file.

#Read combined file
data<-read.spss("Nepal-Trust-Survey-2014-all.sav",to.data.frame=T,reencode="utf-8")
#Take only first 202 rows
#attributes(data)
dim(data)
## [1] 2404  202
#data<-data[,1:202]

Cleaning Data

Removind Blank columns and rows

The original data contains 202 columns. Some might have created extra column names unknowingly while entering data. Some might have inserted blank records in SPSS. We will discard all the records that does not contain either respondentID, or Gender or Age. We will also discard all the columns right to column number 202.

dim(data)
## [1] 2404  202
data<-data[(!is.na(data$id)) | (!is.na(data$aq1)) | (!is.na(data$aq2)),]
dim(data)
## [1] 2404  202

Find the variable labels

Data files contains variable labels. We will read these variable labels to a new variable and store for future use.

##Find variable labels #variableLabels<-attr(mydata,"variable.labels")
variableLabels<-character()
for(i in 1:202){variableLabels[i]<-attr(data,"variable.labels")[[i]]}

Rename column names of dataset to variable labels

Column names should be renamed to some meaningful names. The labels obtained from variable labels attribute of SPSS file should be cleaned before using as column names of data frame. At this stage this is commented out because using question number in variable name is easier for me. For other users, it might be easier to use meaningful variable names. There are two types of names: one - replaced spaces and other illegal charactors to dots “.” and Two: remove all punctuation marks altogether. Remove single hashses to get dot separated column name and Remove only single hash to get cleaner name. This will be uncommented once all the analysis are finished and we want to publish this data to public users.

##Converts spaces and punctuations to dots(.)
#names(data)<-make.names(variableLabels,unique=TRUE)
##Following code removes all punctuation marks too
##names(data)<-gsub("[ [:punct:]]", "" , variableLabels)

Remove other specific noises in data

Noises that were introduced in data during typing or any phase of data collection are removed.

Frequency tables and graphs for all variables

The actual question to the respondents begin from column index 5 and end at column no 202, so we will analyze frequency for culumn numbers from 5 to 202. All the figures are cannot be explained. The horizontal and vertical mean are not interpretable in every situation. Vertical mean is not interpreatable in nominal data, but interpretable in other data. skipping questions for involvement in institutions and trust basis for individual and institutions.

#cols 15:26=q11; cols 56:67=trust basis for individual and institution
#also remove other columns 55,86,180,194
skippedColumns<-c(5:14,27:54,56,67:85,87:179,181:193,195:202)

for(i in skippedColumns){
    x<-data[,i]
    #remove NA before calculating mean
    x <- x[!is.na(x)]
    #Remove "Don't Know" and NA from x
    x<-x[x!="Don't know" & x!="Don't Know" & !is.na(x)]

    #calculate frequency table
    c<-count(x)
    #find percent and mean of frequency
    y<-cbind(c,"percent"=c[,2]/sum(c[2])*100)#,mean=mean(count$freq)
    
    #order according to frequency and preserve order for printing
    #y<-y[order(y$freq),]
    #y$x<-factor(y$x,levels=y$x,ordered=TRUE)
    
    #Horizontal and vertical mean
    hm<-mean(y$percent) #mean of percentages
    vm<-mean(as.numeric(x))

    #Change NA to "Not Available"
    #levels(y$x)<-c(levels(y$x),"Not Available")
    #y[is.na(y$x),1]<-"Not Available"
    #Remove NA after calculating percent
    #y<-y[!is.na(y$x),]

    #Plot factors x by percent
    g<-ggplot(y,aes(x=x,y=percent))
    g<-g+geom_bar(stat="identity",color="Red",fill="Maroon")
    g<-g+labs(title=variableLabels[i],x=names(data[,i]),y="Percent")
    g<-g+geom_text(aes(label=paste(round(percent,digits=2),"%",sep="")),size = 3, hjust = 0.5, vjust = -1, position ="stack")
    g<-g+theme_bw()
    g<-g+theme(axis.text.x=element_text(angle=45,vjust=1,hjust=1))
    g<-g+geom_hline(aes(yintercept=hm))
    #g<-g+geom_text(aes(0,m,label = m, vjust = -1))
    #g<-g+scale_y_continuous(breaks = sort(c(seq(min(y$percent), max(y$percent), length.out=5), m)))
    g<-g+geom_vline(aes(xintercept=vm))
    print(g)
    print("Frequency table")
    print(y)
    print("Horizontal Mean")
    print(hm)
    print("Vertical Mean")
    print(vm)
}

## [1] "Frequency table"
##        x freq  percent
## 1   Male 1218 50.66556
## 2 Female 1186 49.33444
## [1] "Horizontal Mean"
## [1] 50
## [1] "Vertical Mean"
## [1] 1.493344

## [1] "Frequency table"
##     x freq    percent
## 1  18   10 0.41597338
## 2  19   27 1.12312812
## 3  20   47 1.95507488
## 4  21   57 2.37104825
## 5  22   56 2.32945092
## 6  23   47 1.95507488
## 7  24   51 2.12146423
## 8  25   58 2.41264559
## 9  26   59 2.45424293
## 10 27   49 2.03826955
## 11 28   69 2.87021631
## 12 29   50 2.07986689
## 13 30   64 2.66222962
## 14 31   63 2.62063228
## 15 32   59 2.45424293
## 16 33   61 2.53743760
## 17 34   55 2.28785358
## 18 35   70 2.91181364
## 19 36   54 2.24625624
## 20 37   38 1.58069884
## 21 38   58 2.41264559
## 22 39   52 2.16306156
## 23 40   54 2.24625624
## 24 41   41 1.70549085
## 25 42   66 2.74542429
## 26 43   48 1.99667221
## 27 44   43 1.78868552
## 28 45   66 2.74542429
## 29 46   41 1.70549085
## 30 47   63 2.62063228
## 31 48   51 2.12146423
## 32 49   55 2.28785358
## 33 50   44 1.83028286
## 34 51   51 2.12146423
## 35 52   38 1.58069884
## 36 53   43 1.78868552
## 37 54   35 1.45590682
## 38 55   52 2.16306156
## 39 56   44 1.83028286
## 40 57   31 1.28951747
## 41 58   30 1.24792013
## 42 59   26 1.08153078
## 43 60   34 1.41430948
## 44 61   28 1.16472546
## 45 62   29 1.20632280
## 46 63   20 0.83194676
## 47 64   27 1.12312812
## 48 65   26 1.08153078
## 49 66   21 0.87354409
## 50 67   11 0.45757072
## 51 68   16 0.66555740
## 52 69   16 0.66555740
## 53 70   19 0.79034942
## 54 71   10 0.41597338
## 55 72   10 0.41597338
## 56 73    5 0.20798669
## 57 74    5 0.20798669
## 58 75   10 0.41597338
## 59 76    4 0.16638935
## 60 77    5 0.20798669
## 61 78    7 0.29118136
## 62 79    5 0.20798669
## 63 80    4 0.16638935
## 64 81    2 0.08319468
## 65 82    2 0.08319468
## 66 83    2 0.08319468
## 67 84    1 0.04159734
## 68 85    2 0.08319468
## 69 86    2 0.08319468
## 70 88    1 0.04159734
## 71 89    1 0.04159734
## 72 90    1 0.04159734
## 73 91    1 0.04159734
## 74 92    1 0.04159734
## [1] "Horizontal Mean"
## [1] 1.351351
## [1] "Vertical Mean"
## [1] 41.8777

## [1] "Frequency table"
##           x freq   percent
## 1     Hindu 2162 89.933444
## 2  Buddhist  140  5.823627
## 3    Muslim   44  1.830283
## 4 Christian   25  1.039933
## 5    Others   33  1.372712
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 1.180948

## [1] "Frequency table"
##              x freq  percent
## 1     Migrated  786 33.12263
## 2 Not Migrated 1587 66.87737
## [1] "Horizontal Mean"
## [1] 50
## [1] "Vertical Mean"
## [1] 1.668774

## [1] "Frequency table"
##                           x freq   percent
## 1                Illiterate  359 15.090374
## 2                  Literate  424 17.822615
## 3             Primary Level  135  5.674653
## 4     Lower Secondary Level  178  7.482135
## 5           Secondary Level  398 16.729718
## 6    Higher Secondary Level  418 17.570408
## 7           Graduate Degree  330 13.871375
## 8 Master's Degree or Higher  137  5.758722
## [1] "Horizontal Mean"
## [1] 12.5
## [1] "Vertical Mean"
## [1] 4.299285

## [1] "Frequency table"
##               x freq   percent
## 1       Working  746 31.610169
## 2 Self-employed  424 17.966102
## 3    Unemployed  328 13.898305
## 4       Retired   96  4.067797
## 5       Student  218  9.237288
## 6    House wife  548 23.220339
## [1] "Horizontal Mean"
## [1] 16.66667
## [1] "Vertical Mean"
## [1] 3.110169

## [1] "Frequency table"
##                                               x freq   percent
## 1                                        Farmer  400 33.361134
## 2                               Labor (skilled)  121 10.091743
## 3                            Laborr (unskilled)   53  4.420350
## 4           Executive, Top management, Director   27  2.251877
## 5  Professional Lawyer, Doctor, Accountant, etc   41  3.419516
## 6                        Professor - University   37  3.085905
## 7                              Teacher - School  162 13.511259
## 8              Military service/police/security   33  2.752294
## 9                                Public Servant   96  8.006672
## 10                                        Other  229 19.099249
## [1] "Horizontal Mean"
## [1] 10
## [1] "Vertical Mean"
## [1] 4.910759

## [1] "Frequency table"
##                                                  x freq   percent
## 1                                     Private Firm  658 55.016722
## 2                                    Public Sector  203 16.973244
## 3 NGOs/Foundations/CBOs/Trade Unions/Civil Society   95  7.943144
## 4                                            Other  240 20.066890
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 1.930602

## [1] "Frequency table"
##         x freq    percent
## 1     200    7  0.5327245
## 2     300    1  0.0761035
## 3     400    1  0.0761035
## 4     500   14  1.0654490
## 5     600    3  0.2283105
## 6    1000   25  1.9025875
## 7    1100    1  0.0761035
## 8    1500   13  0.9893455
## 9    1790    1  0.0761035
## 10   2000   33  2.5114155
## 11   2200    1  0.0761035
## 12   2300    1  0.0761035
## 13   2500   14  1.0654490
## 14   3000   47  3.5768645
## 15   3500    3  0.2283105
## 16   4000   32  2.4353120
## 17   4300    1  0.0761035
## 18   4500    4  0.3044140
## 19   5000  110  8.3713851
## 20   5200    1  0.0761035
## 21   5500    2  0.1522070
## 22   6000   21  1.5981735
## 23   6500    1  0.0761035
## 24   6600    1  0.0761035
## 25   7000   40  3.0441400
## 26   7500    1  0.0761035
## 27   8000   46  3.5007610
## 28   8500    1  0.0761035
## 29   9000   14  1.0654490
## 30   9500    1  0.0761035
## 31  10000  163 12.4048706
## 32  10500    1  0.0761035
## 33  10700    1  0.0761035
## 34  11000   10  0.7610350
## 35  12000   56  4.2617960
## 36  13000   18  1.3698630
## 37  14000   10  0.7610350
## 38  14300    1  0.0761035
## 39  15000  144 10.9589041
## 40  15875    1  0.0761035
## 41  16000   30  2.2831050
## 42  16140    1  0.0761035
## 43  17000   26  1.9786910
## 44  17090    1  0.0761035
## 45  17500    1  0.0761035
## 46  18000   47  3.5768645
## 47  18570    1  0.0761035
## 48  18600    2  0.1522070
## 49  19000    8  0.6088280
## 50  19250    1  0.0761035
## 51  20000  117  8.9041096
## 52  20224    1  0.0761035
## 53  21000    8  0.6088280
## 54  22000    7  0.5327245
## 55  22180    1  0.0761035
## 56  22500    2  0.1522070
## 57  23000    4  0.3044140
## 58  23875    1  0.0761035
## 59  24000    2  0.1522070
## 60  24880    1  0.0761035
## 61  25000   54  4.1095890
## 62  26000    2  0.1522070
## 63  27000    2  0.1522070
## 64  28000    4  0.3044140
## 65  30000   47  3.5768645
## 66  31000    1  0.0761035
## 67  32000    5  0.3805175
## 68  35000   16  1.2176560
## 69  35450    1  0.0761035
## 70  36000    1  0.0761035
## 71  37000    1  0.0761035
## 72  38000    1  0.0761035
## 73  39000    1  0.0761035
## 74  40000   17  1.2937595
## 75  42000    1  0.0761035
## 76  44545    1  0.0761035
## 77  45000    5  0.3805175
## 78  50000   24  1.8264840
## 79  55000    3  0.2283105
## 80  60000    6  0.4566210
## 81  70000    3  0.2283105
## 82  80000    1  0.0761035
## 83  85000    1  0.0761035
## 84 100000    3  0.2283105
## 85 130000    1  0.0761035
## 86 200000    1  0.0761035
## 87 300000    1  0.0761035
## 88 500000    1  0.0761035
## 89 600000    1  0.0761035
## [1] "Horizontal Mean"
## [1] 1.123596
## [1] "Vertical Mean"
## [1] 15972.35

## [1] "Frequency table"
##     x freq  percent
## 1 Yes  958 40.64489
## 2  No 1399 59.35511
## [1] "Horizontal Mean"
## [1] 50
## [1] "Vertical Mean"
## [1] 1.593551

## [1] "Frequency table"
##                      x freq    percent
## 1 Not religious at all   12  0.5104211
## 2        Not religious   88  3.7430880
## 3              Neutral  318 13.5261591
## 4            Religious  448 19.0557210
## 5       Very Religious 1438 61.1654615
## 6           Dontt know   47  1.9991493
## [1] "Horizontal Mean"
## [1] 16.66667
## [1] "Vertical Mean"
## [1] 4.426202

## [1] "Frequency table"
##                      x freq   percent
## 1  1 Very Dissatisfied   93  3.892842
## 2          2 Satisfied   49  2.051067
## 3          3 Satisfied  152  6.362495
## 4          4 Satisfied  360 15.069067
## 5          5 Satisfied  482 20.175806
## 6          6 Satisfied  308 12.892424
## 7          7 Satisfied  302 12.641272
## 8          8 Satisfied  179  7.492675
## 9          9 Satisfied  147  6.153202
## 10   10 Very Satisfied  205  8.580996
## 11           Dont Know  112  4.688154
## [1] "Horizontal Mean"
## [1] 9.090909
## [1] "Vertical Mean"
## [1] 6.067811

## [1] "Frequency table"
##                      x freq   percent
## 1  1 Very Dissatisfied   60  2.515723
## 2          2 Satisfied   40  1.677149
## 3          3 Satisfied  137  5.744235
## 4          4 Satisfied  262 10.985325
## 5          5 Satisfied  501 21.006289
## 6          6 Satisfied  378 15.849057
## 7          7 Satisfied  282 11.823899
## 8          8 Satisfied  258 10.817610
## 9          9 Satisfied  106  4.444444
## 10   10 Very Satisfied  193  8.092243
## 11           Dont Know  168  7.044025
## [1] "Horizontal Mean"
## [1] 9.090909
## [1] "Vertical Mean"
## [1] 6.348847

## [1] "Frequency table"
##               x freq   percent
## 1    1 Very Bad  194  8.120553
## 2        2 Good   80  3.348681
## 3        3 Good  152  6.362495
## 4        4 Good  285 11.929678
## 5        5 Good  485 20.301381
## 6        6 Good  349 14.608623
## 7        7 Good  310 12.976141
## 8        8 Good  187  7.827543
## 9        9 Good   51  2.134784
## 10 10 Very Good  105  4.395144
## 11    Dont Know  191  7.994977
## [1] "Horizontal Mean"
## [1] 9.090909
## [1] "Vertical Mean"
## [1] 5.753453

## [1] "Frequency table"
##               x freq   percent
## 1    1 Very Bad   51  2.135678
## 2        2 Good   67  2.805695
## 3        3 Good  102  4.271357
## 4        4 Good  198  8.291457
## 5        5 Good  363 15.201005
## 6        6 Good  268 11.222781
## 7        7 Good  283 11.850921
## 8        8 Good  323 13.525963
## 9        9 Good  247 10.343384
## 10 10 Very Good  154  6.448911
## 11    Dont Know  332 13.902848
## [1] "Horizontal Mean"
## [1] 9.090909
## [1] "Vertical Mean"
## [1] 6.987437

## [1] "Frequency table"
##                      x freq   percent
## 1  1 Very Dissatisfied  133  5.595288
## 2          2 Satisfied  116  4.880101
## 3          3 Satisfied  218  9.171224
## 4          4 Satisfied  275 11.569205
## 5          5 Satisfied  461 19.394194
## 6          6 Satisfied  404 16.996214
## 7          7 Satisfied  301 12.663021
## 8          8 Satisfied  136  5.721498
## 9          9 Satisfied   77  3.239377
## 10   10 Very Satisfied   91  3.828355
## 11           Dont Know  165  6.941523
## [1] "Horizontal Mean"
## [1] 9.090909
## [1] "Vertical Mean"
## [1] 5.663021

## [1] "Frequency table"
##                   x freq  percent
## 1 Strongly Disagree  526 22.25984
## 2    Quite Disagree  798 33.77063
## 3      Partly Agree  767 32.45874
## 4    Strongly Agree  272 11.51079
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.332205

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  299 12.843643
## 2    Quite Disagree  882 37.886598
## 3      Partly Agree  928 39.862543
## 4    Strongly Agree  219  9.407216
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.458333

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  874 37.286689
## 2    Quite Disagree  739 31.527304
## 3      Partly Agree  502 21.416382
## 4    Strongly Agree  229  9.769625
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.036689

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence  219 10.584824
## 2   Not very much confidence  653 31.561141
## 3  Quite a lot of confidence 1061 51.280812
## 4 A great deal of confidence  136  6.573224
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.538424

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence  157  7.374354
## 2   Not very much confidence  669 31.423203
## 3  Quite a lot of confidence 1135 53.311414
## 4 A great deal of confidence  168  7.891029
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.617191

## [1] "Frequency table"
##                            x freq  percent
## 1     None at all confidence   77  3.57973
## 2   Not very much confidence  575 26.73175
## 3  Quite a lot of confidence 1259 58.53092
## 4 A great deal of confidence  240 11.15760
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.772664

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence  501 21.973684
## 2   Not very much confidence  869 38.114035
## 3  Quite a lot of confidence  779 34.166667
## 4 A great deal of confidence  131  5.745614
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.236842

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence   81  3.720717
## 2   Not very much confidence  423 19.430409
## 3  Quite a lot of confidence 1201 55.167662
## 4 A great deal of confidence  472 21.681213
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.948094

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence   68  3.028953
## 2   Not very much confidence  386 17.193764
## 3  Quite a lot of confidence 1274 56.748330
## 4 A great deal of confidence  517 23.028953
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.997773

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence  116  4.978541
## 2   Not very much confidence  548 23.519313
## 3  Quite a lot of confidence 1243 53.347639
## 4 A great deal of confidence  423 18.154506
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.846781

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence   66  2.875817
## 2   Not very much confidence  428 18.649237
## 3  Quite a lot of confidence 1214 52.897603
## 4 A great deal of confidence  587 25.577342
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.011765

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence  128  6.183575
## 2   Not very much confidence  731 35.314010
## 3  Quite a lot of confidence 1001 48.357488
## 4 A great deal of confidence  210 10.144928
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.624638

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence  189  9.968354
## 2   Not very much confidence  642 33.860759
## 3  Quite a lot of confidence  889 46.888186
## 4 A great deal of confidence  176  9.282700
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.554852

## [1] "Frequency table"
##                            x freq  percent
## 1     None at all confidence  155  7.69995
## 2   Not very much confidence  481 23.89468
## 3  Quite a lot of confidence 1031 51.21709
## 4 A great deal of confidence  346 17.18828
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.778937

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence   40  1.760563
## 2   Not very much confidence  399 17.561620
## 3  Quite a lot of confidence 1422 62.588028
## 4 A great deal of confidence  411 18.089789
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.97007

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence   41  1.812555
## 2   Not very much confidence  428 18.921309
## 3  Quite a lot of confidence 1467 64.854111
## 4 A great deal of confidence  326 14.412025
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.918656

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence   74  3.175966
## 2   Not very much confidence  388 16.652361
## 3  Quite a lot of confidence 1502 64.463519
## 4 A great deal of confidence  366 15.708155
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.927039

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence   27  1.189427
## 2   Not very much confidence  245 10.792952
## 3  Quite a lot of confidence 1251 55.110132
## 4 A great deal of confidence  747 32.907489
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.197357

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence   27  1.253482
## 2   Not very much confidence  213  9.888579
## 3  Quite a lot of confidence 1148 53.296193
## 4 A great deal of confidence  766 35.561746
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.231662

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence   44  1.901469
## 2   Not very much confidence  296 12.791703
## 3  Quite a lot of confidence 1176 50.821089
## 4 A great deal of confidence  798 34.485739
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.178911

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence   24  1.067616
## 2   Not very much confidence  229 10.186833
## 3  Quite a lot of confidence 1229 54.670819
## 4 A great deal of confidence  766 34.074733
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.217527

## [1] "Frequency table"
##                            x freq   percent
## 1     None at all confidence  102  5.007364
## 2   Not very much confidence  402 19.734904
## 3  Quite a lot of confidence  920 45.164458
## 4 A great deal of confidence  613 30.093274
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.003436

## [1] "Frequency table"
##                                           x freq  percent
## 1                Most people can be trusted  380 17.21014
## 2 Need to be careful in dealing with people 1828 82.78986
## [1] "Horizontal Mean"
## [1] 50
## [1] "Vertical Mean"
## [1] 1.827899

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   43  1.967963
## 2                          Negative  181  8.283753
## 3 Not negative, not positive either  969 44.347826
## 4                          Positive  926 42.379863
## 5                     Very Positive   66  3.020595
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.362014

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative  189  8.575318
## 2                          Negative  551 25.000000
## 3 Not negative, not positive either  857 38.883848
## 4                          Positive  576 26.134301
## 5                     Very Positive   31  1.406534
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.867967

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative  137  6.014047
## 2                          Negative  428 18.788411
## 3 Not negative, not positive either  916 40.210711
## 4                          Positive  747 32.791923
## 5                     Very Positive   50  2.194908
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.063652

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   61  2.706300
## 2                          Negative  269 11.934339
## 3 Not negative, not positive either  945 41.925466
## 4                          Positive  904 40.106477
## 5                     Very Positive   75  3.327418
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.294144

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   71  3.018707
## 2                          Negative  259 11.011905
## 3 Not negative, not positive either  794 33.758503
## 4                          Positive 1101 46.811224
## 5                     Very Positive  127  5.399660
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.405612

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   41  1.823843
## 2                          Negative  143  6.361210
## 3 Not negative, not positive either  716 31.850534
## 4                          Positive 1177 52.357651
## 5                     Very Positive  171  7.606762
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.575623

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   60  2.726034
## 2                          Negative  205  9.313948
## 3 Not negative, not positive either  826 37.528396
## 4                          Positive  940 42.707860
## 5                     Very Positive  170  7.723762
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.433894

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   17  0.720950
## 2                          Negative   87  3.689567
## 3 Not negative, not positive either  465 19.720102
## 4                          Positive 1387 58.821035
## 5                     Very Positive  402 17.048346
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.877863

## [1] "Frequency table"
##                                   x freq    percent
## 1                     Very Negative   10  0.4248088
## 2                          Negative   77  3.2710280
## 3 Not negative, not positive either  487 20.6881903
## 4                          Positive 1432 60.8326253
## 5                     Very Positive  348 14.7833475
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.862787

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   23  0.990099
## 2                          Negative  120  5.165734
## 3 Not negative, not positive either  653 28.110202
## 4                          Positive 1169 50.322858
## 5                     Very Positive  358 15.411106
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.739991

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   20  0.886918
## 2                          Negative   95  4.212860
## 3 Not negative, not positive either  652 28.913525
## 4                          Positive 1172 51.973392
## 5                     Very Positive  316 14.013304
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.740133

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   53  2.538314
## 2                          Negative  225 10.775862
## 3 Not negative, not positive either  889 42.576628
## 4                          Positive  767 36.733716
## 5                     Very Positive  154  7.375479
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.356322

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   52  2.407407
## 2                          Negative  185  8.564815
## 3 Not negative, not positive either  883 40.879630
## 4                          Positive  855 39.583333
## 5                     Very Positive  185  8.564815
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.433333

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   88  3.841117
## 2                          Negative  387 16.892187
## 3 Not negative, not positive either 1020 44.522043
## 4                          Positive  678 29.594064
## 5                     Very Positive  118  5.150589
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.153208

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   25  1.087903
## 2                          Negative  130  5.657093
## 3 Not negative, not positive either  694 30.200174
## 4                          Positive 1212 52.741514
## 5                     Very Positive  237 10.313316
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.655352

## [1] "Frequency table"
##                                   x freq    percent
## 1                     Very Negative   13  0.5847953
## 2                          Negative  104  4.6783626
## 3 Not negative, not positive either  635 28.5650022
## 4                          Positive 1194 53.7112011
## 5                     Very Positive  277 12.4606388
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.727845

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   35  1.666667
## 2                          Negative  158  7.523810
## 3 Not negative, not positive either  897 42.714286
## 4                          Positive  884 42.095238
## 5                     Very Positive  126  6.000000
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.432381

## [1] "Frequency table"
##                                   x freq   percent
## 1                     Very Negative   25  1.124101
## 2                          Negative  155  6.969424
## 3 Not negative, not positive either  854 38.399281
## 4                          Positive  967 43.480216
## 5                     Very Positive  223 10.026978
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.543165

## [1] "Frequency table"
##                                   x freq    percent
## 1                     Very Negative   19  0.8467023
## 2                          Negative  111  4.9465241
## 3 Not negative, not positive either  736 32.7985740
## 4                          Positive 1128 50.2673797
## 5                     Very Positive  250 11.1408200
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.659091

## [1] "Frequency table"
##                 x freq   percent
## 1 Notat all proud   28  1.188960
## 2  Not very proud  111  4.713376
## 3     Quite proud  752 31.932059
## 4      Very proud 1464 62.165605
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.550743

## [1] "Frequency table"
##                 x freq  percent
## 1 Notat all proud  363 16.72811
## 2  Not very proud  493 22.71889
## 3     Quite proud  691 31.84332
## 4      Very proud  623 28.70968
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.725346

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  289 13.190324
## 2    Quite Disagree  973 44.408946
## 3      Partly Agree  836 38.156093
## 4    Strongly Agree   93  4.244637
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.33455

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  112  4.938272
## 2    Quite Disagree  582 25.661376
## 3      Partly Agree 1029 45.370370
## 4    Strongly Agree  545 24.029982
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.884921

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree   91  3.975535
## 2    Quite Disagree  442 19.309742
## 3      Partly Agree 1138 49.716033
## 4    Strongly Agree  618 26.998689
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.997379

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  215  9.598214
## 2    Quite Disagree 1121 50.044643
## 3      Partly Agree  734 32.767857
## 4    Strongly Agree  170  7.589286
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.383482

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  110  4.928315
## 2    Quite Disagree  787 35.259857
## 3      Partly Agree 1030 46.146953
## 4    Strongly Agree  305 13.664875
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.685484

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  236 10.442478
## 2    Quite Disagree 1061 46.946903
## 3      Partly Agree  793 35.088496
## 4    Strongly Agree  170  7.522124
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.396903

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  119  5.201049
## 2    Quite Disagree  679 29.676573
## 3      Partly Agree 1037 45.323427
## 4    Strongly Agree  453 19.798951
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.797203

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  331 14.600794
## 2    Quite Disagree 1167 51.477724
## 3      Partly Agree  611 26.951919
## 4    Strongly Agree  158  6.969563
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.262903

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  451 19.955752
## 2    Quite Disagree 1164 51.504425
## 3      Partly Agree  473 20.929204
## 4    Strongly Agree  172  7.610619
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.161947

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  140  6.499536
## 2    Quite Disagree  744 34.540390
## 3      Partly Agree  976 45.311049
## 4    Strongly Agree  294 13.649025
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.661096

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree   91  4.028331
## 2    Quite Disagree  462 20.451527
## 3      Partly Agree 1087 48.118637
## 4    Strongly Agree  619 27.401505
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.988933

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  266 12.349118
## 2    Quite Disagree  957 44.428969
## 3      Partly Agree  732 33.983287
## 4    Strongly Agree  199  9.238626
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.401114

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  345 16.016713
## 2    Quite Disagree 1073 49.814299
## 3      Partly Agree  584 27.112349
## 4    Strongly Agree  152  7.056639
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.252089

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  261 12.111369
## 2    Quite Disagree  904 41.948956
## 3      Partly Agree  825 38.283063
## 4    Strongly Agree  165  7.656613
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.414849

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  457 20.632054
## 2    Quite Disagree 1084 48.939052
## 3      Partly Agree  498 22.483070
## 4    Strongly Agree  176  7.945824
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.177427

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  116  5.677925
## 2    Quite Disagree  287 14.047969
## 3      Partly Agree 1200 58.737151
## 4    Strongly Agree  440 21.536955
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.961331

## [1] "Frequency table"
##                   x freq  percent
## 1 Strongly Disagree  321 16.30269
## 2    Quite Disagree  516 26.20620
## 3      Partly Agree  770 39.10615
## 4    Strongly Agree  362 18.38497
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.595734

## [1] "Frequency table"
##                   x freq  percent
## 1 Strongly Disagree  428 22.11886
## 2    Quite Disagree  530 27.39018
## 3      Partly Agree  689 35.60724
## 4    Strongly Agree  288 14.88372
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.432558

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  868 45.660179
## 2    Quite Disagree  460 24.197791
## 3      Partly Agree  409 21.514992
## 4    Strongly Agree  164  8.627038
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 1.931089

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree 1059 52.218935
## 2    Quite Disagree  432 21.301775
## 3      Partly Agree  345 17.011834
## 4    Strongly Agree  192  9.467456
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 1.837278

## [1] "Frequency table"
##                   x freq  percent
## 1 Strongly Disagree  663 32.95229
## 2    Quite Disagree  464 23.06163
## 3      Partly Agree  557 27.68390
## 4    Strongly Agree  328 16.30219
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.27336

## [1] "Frequency table"
##                   x freq  percent
## 1 Strongly Disagree  779 37.48797
## 2    Quite Disagree  461 22.18479
## 3      Partly Agree  603 29.01829
## 4    Strongly Agree  235 11.30895
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.141482

## [1] "Frequency table"
##                   x freq  percent
## 1 Strongly Disagree  316 13.51583
## 2    Quite Disagree  555 23.73824
## 3      Partly Agree  901 38.53721
## 4    Strongly Agree  566 24.20873
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.734388

## [1] "Frequency table"
##                   x freq  percent
## 1 Strongly Disagree  570 25.28838
## 2    Quite Disagree  750 33.27418
## 3      Partly Agree  684 30.34605
## 4    Strongly Agree  250 11.09139
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.272405

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree   92  3.972366
## 2    Quite Disagree  358 15.457686
## 3      Partly Agree 1049 45.293610
## 4    Strongly Agree  817 35.276339
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.118739

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree   56  2.437963
## 2    Quite Disagree  515 22.420549
## 3      Partly Agree  992 43.186765
## 4    Strongly Agree  734 31.954724
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.046582

## [1] "Frequency table"
##                   x freq  percent
## 1 Strongly Disagree  330 15.00682
## 2    Quite Disagree 1080 49.11323
## 3      Partly Agree  605 27.51251
## 4    Strongly Agree  184  8.36744
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.292406

## [1] "Frequency table"
##                   x freq  percent
## 1 Strongly Disagree   76  3.29575
## 2    Quite Disagree  398 17.25932
## 3      Partly Agree 1135 49.21943
## 4    Strongly Agree  697 30.22550
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.063747

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  259 11.470328
## 2    Quite Disagree 1198 53.055802
## 3      Partly Agree  655 29.007972
## 4    Strongly Agree  146  6.465899
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.304694

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree   81  3.707094
## 2    Quite Disagree  486 22.242563
## 3      Partly Agree 1173 53.684211
## 4    Strongly Agree  445 20.366133
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.907094

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree   82  3.587052
## 2    Quite Disagree  359 15.704287
## 3      Partly Agree 1101 48.162730
## 4    Strongly Agree  744 32.545932
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.096675

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  197  9.349786
## 2    Quite Disagree  695 32.985287
## 3      Partly Agree  828 39.297579
## 4    Strongly Agree  387 18.367347
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.666825

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree   34  1.505091
## 2    Quite Disagree  229 10.137229
## 3      Partly Agree  974 43.116423
## 4    Strongly Agree 1022 45.241257
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.320938

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree   50  2.343018
## 2    Quite Disagree  414 19.400187
## 3      Partly Agree 1072 50.234302
## 4    Strongly Agree  598 28.022493
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 3.039363

## [1] "Frequency table"
##                   x freq  percent
## 1 Strongly Disagree  257 11.62896
## 2    Quite Disagree  868 39.27602
## 3      Partly Agree  817 36.96833
## 4    Strongly Agree  268 12.12670
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.495928

## [1] "Frequency table"
##                   x freq   percent
## 1 Strongly Disagree  109  4.850912
## 2    Quite Disagree  532 23.676012
## 3      Partly Agree 1044 46.461949
## 4    Strongly Agree  562 25.011126
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.916333

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  213 11.222339
## 2       Low  438 23.076923
## 3       Mid  706 37.197050
## 4    Higher  373 19.652266
## 5 Very high  168  8.851423
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.918335

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  187  9.957401
## 2       Low  499 26.570820
## 3       Mid  722 38.445154
## 4    Higher  356 18.956337
## 5 Very high  114  6.070288
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.846113

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  166  8.700210
## 2       Low  453 23.742138
## 3       Mid  746 39.098532
## 4    Higher  391 20.492662
## 5 Very high  152  7.966457
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.95283

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  171  9.095745
## 2       Low  466 24.787234
## 3       Mid  696 37.021277
## 4    Higher  421 22.393617
## 5 Very high  126  6.702128
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.928191

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  101  4.827916
## 2       Low  400 19.120459
## 3       Mid  911 43.546845
## 4    Higher  549 26.242830
## 5 Very high  131  6.261950
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.099904

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  120  5.856515
## 2       Low  435 21.229868
## 3       Mid  879 42.898975
## 4    Higher  481 23.474866
## 5 Very high  134  6.539776
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.036115

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low   98  4.803922
## 2       Low  405 19.852941
## 3       Mid  860 42.156863
## 4    Higher  526 25.784314
## 5 Very high  151  7.401961
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.111275

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  120  5.908419
## 2       Low  373 18.365337
## 3       Mid  817 40.226489
## 4    Higher  555 27.326440
## 5 Very high  166  8.173314
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.134909

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  101  4.735115
## 2       Low  383 17.955931
## 3       Mid  833 39.052977
## 4    Higher  643 30.145335
## 5 Very high  173  8.110642
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.189405

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  117  5.606133
## 2       Low  399 19.118352
## 3       Mid  878 42.069957
## 4    Higher  545 26.114039
## 5 Very high  148  7.091519
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.099665

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low   95  4.528122
## 2       Low  375 17.874166
## 3       Mid  877 41.801716
## 4    Higher  572 27.264061
## 5 Very high  179  8.531935
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.173975

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low   93  4.456157
## 2       Low  370 17.728797
## 3       Mid  838 40.153330
## 4    Higher  589 28.222329
## 5 Very high  197  9.439387
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.2046

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  108  5.224964
## 2       Low  479 23.173682
## 3       Mid  810 39.187228
## 4    Higher  499 24.141268
## 5 Very high  171  8.272859
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.070634

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  114  5.711423
## 2       Low  496 24.849699
## 3       Mid  786 39.378758
## 4    Higher  443 22.194389
## 5 Very high  157  7.865731
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.016533

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low   99  4.915591
## 2       Low  458 22.740814
## 3       Mid  798 39.622642
## 4    Higher  473 23.485601
## 5 Very high  186  9.235353
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.093843

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  118  5.926670
## 2       Low  474 23.807132
## 3       Mid  784 39.377197
## 4    Higher  449 22.551482
## 5 Very high  166  8.337519
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.03566

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  102  4.726599
## 2       Low  477 22.103800
## 3       Mid  743 34.430028
## 4    Higher  626 29.008341
## 5 Very high  210  9.731233
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.169138

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  109  5.222808
## 2       Low  513 24.580738
## 3       Mid  729 34.930522
## 4    Higher  558 26.736943
## 5 Very high  178  8.528989
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.087686

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low   87  4.125178
## 2       Low  441 20.910384
## 3       Mid  745 35.324798
## 4    Higher  645 30.583215
## 5 Very high  191  9.056425
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.195353

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  106  5.160662
## 2       Low  505 24.586173
## 3       Mid  740 36.027264
## 4    Higher  516 25.121714
## 5 Very high  187  9.104187
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.084226

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  106  5.480869
## 2       Low  422 21.820062
## 3       Mid  750 38.779731
## 4    Higher  497 25.698035
## 5 Very high  159  8.221303
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.093588

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  114  6.057386
## 2       Low  414 21.997875
## 3       Mid  742 39.426142
## 4    Higher  462 24.548353
## 5 Very high  150  7.970244
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.063762

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  107  5.625657
## 2       Low  380 19.978970
## 3       Mid  767 40.325973
## 4    Higher  488 25.657203
## 5 Very high  160  8.412198
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.112513

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low   96  5.095541
## 2       Low  393 20.859873
## 3       Mid  719 38.163482
## 4    Higher  494 26.220807
## 5 Very high  182  9.660297
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.144904

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  112  5.608413
## 2       Low  384 19.228843
## 3       Mid  751 37.606410
## 4    Higher  557 27.891838
## 5 Very high  193  9.664497
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.167752

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  112  5.740646
## 2       Low  414 21.219887
## 3       Mid  739 37.878011
## 4    Higher  498 25.525372
## 5 Very high  188  9.636084
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.120964

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  101  5.184805
## 2       Low  361 18.531828
## 3       Mid  768 39.425051
## 4    Higher  527 27.053388
## 5 Very high  191  9.804928
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.177618

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low  129  6.652914
## 2       Low  392 20.216606
## 3       Mid  716 36.926251
## 4    Higher  511 26.353791
## 5 Very high  191  9.850438
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.125322

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low   51  2.491451
## 2       Low  259 12.652662
## 3       Mid  669 32.681974
## 4    Higher  689 33.659013
## 5 Very high  379 18.514900
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.530532

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low   48  2.409639
## 2       Low  263 13.202811
## 3       Mid  718 36.044177
## 4    Higher  617 30.973896
## 5 Very high  346 17.369478
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.476908

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low   47  2.405322
## 2       Low  230 11.770727
## 3       Mid  719 36.796315
## 4    Higher  634 32.446264
## 5 Very high  324 16.581372
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.490276

## [1] "Frequency table"
##           x freq   percent
## 1  Very Low   66  3.407331
## 2       Low  274 14.145586
## 3       Mid  690 35.622096
## 4    Higher  614 31.698503
## 5 Very high  293 15.126484
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.409912

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  118  5.047049
## 2               Bad  234 10.008554
## 3 Not bad, not good  883 37.767322
## 4              Good  926 39.606501
## 5         Very good  177  7.570573
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.34645

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad   63  2.688860
## 2               Bad  191  8.151942
## 3 Not bad, not good  853 36.406317
## 4              Good 1079 46.052070
## 5         Very good  157  6.700811
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.45924

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad   54  2.352941
## 2               Bad  122  5.315904
## 3 Not bad, not good  828 36.078431
## 4              Good 1109 48.322440
## 5         Very good  182  7.930283
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.541612

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad   53  2.402539
## 2               Bad  133  6.029012
## 3 Not bad, not good  801 36.310063
## 4              Good 1017 46.101541
## 5         Very good  202  9.156845
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.535811

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad   52  2.460956
## 2               Bad  130  6.152390
## 3 Not bad, not good  715 33.838145
## 4              Good  978 46.284903
## 5         Very good  238 11.263606
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.577378

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad   55  2.467474
## 2               Bad  164  7.357559
## 3 Not bad, not good  819 36.742934
## 4              Good  936 41.991925
## 5         Very good  255 11.440108
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.525796

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad   69  3.021016
## 2               Bad  266 11.646235
## 3 Not bad, not good  947 41.462347
## 4              Good  817 35.770578
## 5         Very good  185  8.099825
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.34282

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad   67  2.928322
## 2               Bad  249 10.882867
## 3 Not bad, not good  816 35.664336
## 4              Good  890 38.898601
## 5         Very good  266 11.625874
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.454108

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  110  5.169173
## 2               Bad  437 20.535714
## 3 Not bad, not good 1011 47.509398
## 4              Good  473 22.227444
## 5         Very good   97  4.558271
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.004699

## [1] "Frequency table"
##                   x freq  percent
## 1          Very bad  513 21.83908
## 2               Bad  780 33.20562
## 3 Not bad, not good  686 29.20392
## 4              Good  286 12.17539
## 5         Very good   84  3.57599
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.424436

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  344 14.776632
## 2               Bad  803 34.493127
## 3 Not bad, not good  746 32.044674
## 4              Good  351 15.077320
## 5         Very good   84  3.608247
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.582474

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  387 16.602317
## 2               Bad  836 35.864436
## 3 Not bad, not good  734 31.488631
## 4              Good  299 12.827113
## 5         Very good   75  3.217503
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.501931

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  381 16.302953
## 2               Bad  827 35.387249
## 3 Not bad, not good  721 30.851519
## 4              Good  339 14.505777
## 5         Very good   69  2.952503
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.524176

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  360 15.483871
## 2               Bad  836 35.956989
## 3 Not bad, not good  720 30.967742
## 4              Good  335 14.408602
## 5         Very good   74  3.182796
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.538495

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  395 16.865927
## 2               Bad  809 34.543126
## 3 Not bad, not good  587 25.064048
## 4              Good  450 19.214347
## 5         Very good  101  4.312553
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.595645

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  433 18.736478
## 2               Bad  789 34.141064
## 3 Not bad, not good  683 29.554305
## 4              Good  338 14.625703
## 5         Very good   68  2.942449
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.488966

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  150  6.593407
## 2               Bad  454 19.956044
## 3 Not bad, not good 1033 45.406593
## 4              Good  528 23.208791
## 5         Very good  110  4.835165
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.997363

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  146  6.428886
## 2               Bad  458 20.167327
## 3 Not bad, not good  975 42.932629
## 4              Good  601 26.464113
## 5         Very good   91  4.007045
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.014531

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad   50  2.219263
## 2               Bad  188  8.344430
## 3 Not bad, not good  802 35.596982
## 4              Good  940 41.722148
## 5         Very good  273 12.117177
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.531735

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad   41  1.781834
## 2               Bad  198  8.604954
## 3 Not bad, not good  694 30.160800
## 4              Good 1097 47.674924
## 5         Very good  271 11.777488
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.590613

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad   86  3.928735
## 2               Bad  347 15.851987
## 3 Not bad, not good  889 40.612152
## 4              Good  735 33.576976
## 5         Very good  132  6.030151
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.219278

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  170  7.548845
## 2               Bad  468 20.781528
## 3 Not bad, not good  918 40.763766
## 4              Good  573 25.444050
## 5         Very good  123  5.461812
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.004885

## [1] "Frequency table"
##                   x freq   percent
## 1          Very bad  148  6.595365
## 2               Bad  474 21.122995
## 3 Not bad, not good  956 42.602496
## 4              Good  541 24.108734
## 5         Very good  125  5.570410
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.009358

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well   44  1.899007
## 2         Succeeded quite well  410 17.695296
## 3 Neither succeeded nor failed  499 21.536470
## 4        Did not quite succeed  805 34.743202
## 5       Did not succeed at all  559 24.126025
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.615019

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well   34  1.465517
## 2         Succeeded quite well  343 14.784483
## 3 Neither succeeded nor failed  514 22.155172
## 4        Did not quite succeed 1003 43.232759
## 5       Did not succeed at all  426 18.362069
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.622414

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well   30  1.318102
## 2         Succeeded quite well  336 14.762742
## 3 Neither succeeded nor failed  549 24.121265
## 4        Did not quite succeed  937 41.168717
## 5       Did not succeed at all  424 18.629174
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.610281

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well   49  2.128584
## 2         Succeeded quite well  168  7.298002
## 3 Neither succeeded nor failed  487 21.155517
## 4        Did not quite succeed  801 34.795830
## 5       Did not succeed at all  797 34.622068
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.924848

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well   39  1.759928
## 2         Succeeded quite well  305 13.763538
## 3 Neither succeeded nor failed  555 25.045126
## 4        Did not quite succeed  874 39.440433
## 5       Did not succeed at all  443 19.990975
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.62139

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well  251 10.856401
## 2         Succeeded quite well 1119 48.399654
## 3 Neither succeeded nor failed  501 21.669550
## 4        Did not quite succeed  338 14.619377
## 5       Did not succeed at all  103  4.455017
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.53417

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well   49  2.171986
## 2         Succeeded quite well  288 12.765957
## 3 Neither succeeded nor failed  527 23.359929
## 4        Did not quite succeed  759 33.643617
## 5       Did not succeed at all  633 28.058511
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.726507

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well   68  3.047961
## 2         Succeeded quite well  479 21.470193
## 3 Neither succeeded nor failed  595 26.669655
## 4        Did not quite succeed  752 33.706858
## 5       Did not succeed at all  337 15.105334
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.363514

## [1] "Frequency table"
##                              x freq  percent
## 1          Succeeded very well   60  2.74223
## 2         Succeeded quite well  579 26.46252
## 3 Neither succeeded nor failed  655 29.93601
## 4        Did not quite succeed  666 30.43876
## 5       Did not succeed at all  228 10.42048
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.193327

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well   38  1.769912
## 2         Succeeded quite well  341 15.882627
## 3 Neither succeeded nor failed  719 33.488589
## 4        Did not quite succeed  745 34.699581
## 5       Did not succeed at all  304 14.159292
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.435957

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well   54  2.525725
## 2         Succeeded quite well  368 17.212348
## 3 Neither succeeded nor failed  665 31.103835
## 4        Did not quite succeed  719 33.629560
## 5       Did not succeed at all  332 15.528531
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.424228

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well   39  1.744186
## 2         Succeeded quite well  298 13.327370
## 3 Neither succeeded nor failed  610 27.280859
## 4        Did not quite succeed  825 36.896243
## 5       Did not succeed at all  464 20.751342
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.615832

## [1] "Frequency table"
##                              x freq   percent
## 1          Succeeded very well  189  8.337009
## 2         Succeeded quite well  961 42.390825
## 3 Neither succeeded nor failed  560 24.702250
## 4        Did not quite succeed  441 19.453022
## 5       Did not succeed at all  116  5.116895
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.70622

## [1] "Frequency table"
##                                   x freq   percent
## 1                  Very inefficient  393 17.064698
## 2                 Quite inefficient  496 21.537125
## 3 Neither efficient nor inefficient  657 28.528007
## 4                   Quite efficient  721 31.306991
## 5                    Very efficient   36  1.563178
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.787668

## [1] "Frequency table"
##                                   x freq   percent
## 1                  Very inefficient  257 11.130359
## 2                 Quite inefficient  504 21.827631
## 3 Neither efficient nor inefficient  711 30.792551
## 4                   Quite efficient  781 33.824166
## 5                    Very efficient   56  2.425292
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.945864

## [1] "Frequency table"
##                                   x freq   percent
## 1                  Very inefficient  290 12.494614
## 2                 Quite inefficient  436 18.785006
## 3 Neither efficient nor inefficient  556 23.955192
## 4                   Quite efficient  942 40.585954
## 5                    Very efficient   97  4.179233
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.051702

## [1] "Frequency table"
##            x freq   percent
## 1       None   34  1.521253
## 2 Just a few  431 19.284116
## 3       Some  507 22.684564
## 4 Quite many  808 36.152125
## 5   Everyone  455 20.357942
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.545414

## [1] "Frequency table"
##            x freq   percent
## 1       None   79  3.607306
## 2 Just a few  602 27.488584
## 3       Some  648 29.589041
## 4 Quite many  616 28.127854
## 5   Everyone  245 11.187215
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 3.157991

## [1] "Frequency table"
##             x freq   percent
## 1       Never  786 41.719745
## 2      Seldom  219 11.624204
## 3   Sometimes  570 30.254777
## 4 Quite often  238 12.632696
## 5  Very often   71  3.768577
## [1] "Horizontal Mean"
## [1] 20
## [1] "Vertical Mean"
## [1] 2.251062

## [1] "Frequency table"
##                       x freq   percent
## 1 Not at all interested  473 21.040925
## 2        Not interested  536 23.843416
## 3   Somewhat interested 1057 47.019573
## 4       Very interested  182  8.096085
## [1] "Horizontal Mean"
## [1] 25
## [1] "Vertical Mean"
## [1] 2.421708

## [1] "Frequency table"
##                                        x freq    percent
## 1                        Nepali Congress  902 46.4708913
## 2                              CPN (UML)  507 26.1205564
## 3                          UCPN (Maoist)  197 10.1494075
## 4                           CPN (Maoist)   70  3.6063885
## 5               Nepal Majdur Kisan Party   16  0.8243174
## 6             Rastriya Janamorcha, Nepal   15  0.7727975
## 7        Rastra Prajatantra Party, Nepal   61  3.1427099
## 8             Rastriya Prajatantra Party   20  1.0303967
## 9  Madheshi janadhikar Forum, Democratic   28  1.4425554
## 10             Madheshi Janadhikar Forum   15  0.7727975
## 11        National People's front, Nepal   29  1.4940752
## 12              Sanghiya Samajbadi Party   20  1.0303967
## 13                                 Other   61  3.1427099
## [1] "Horizontal Mean"
## [1] 7.692308
## [1] "Vertical Mean"
## [1] 2.760948

Now combining Multiple response question involvement in institutions

q11<-data[,15:26]
for(i in 1:length(q11)){q11[,i]<-as.numeric(q11[,i])}

###Combine all q11 columns to one
#define new column to store all data
q11$new<-0
#replace all NAs with 0
q11[is.na(q11)]<-0
#define temp as logical
tmp<-q11[1:11]==1
#gives col index for last match
q11$new[row(tmp)[tmp]]<-col(tmp)[tmp]
#remove all data and put only one column
q11<-q11$new
#now change 0 in q11 to 12 because with a[0]
#subscript out of bounds error occur
q11[q11==0]<-12

#Now define variable labels
varlabels<-c("NGO","INGO","Trade Union","Student Union","Voluntary Organization","Community Organization","Religious Orginization","Cultural Organization","International Organization","Political Institution","Others","Not available")
varlabels<-as.data.frame(varlabels)
#To preserve the original order of varlabels
#varlabels$varlabels<-factor(varlabels$varlabels,levels=varlabels$varlabels,ordered=TRUE)

#now apply descriptive labels to q11
q11<-varlabels[q11,1]

#Now remove "Not available" column for plotting
plotData<-q11[q11!="Not available"]

#Now calculate freq and percentages from factor variable q11
invcount<-count(plotData)
#find percent and mean of frequency
y<-cbind(invcount,"percent"=invcount[,2]/sum(invcount[2])*100)
y<-as.data.frame(y)
#order according to freq and preserve order for plotting
y<-y[order(y$freq),]
y$x<-factor(y$x,levels=y$x,ordered=TRUE)

y
##                             x freq    percent
## 4  International Organization    5  0.5055612
## 3                        INGO   11  1.1122346
## 2       Cultural Organization   33  3.3367037
## 6                      Others   41  4.1456016
## 10                Trade Union   45  4.5500506
## 11     Voluntary Organization   65  6.5722952
## 9               Student Union   76  7.6845298
## 7       Political Institution   98  9.9089990
## 8      Religious Orginization  106 10.7178969
## 5                         NGO  108 10.9201213
## 1      Community Organization  401 40.5460061
plot(y$x,y$freq)

g<-ggplot(y,aes(x,percent,order=percent))
g<-g+geom_bar(color="Red",fill="Salmon",stat="identity")
g<-g+labs(title="Involvement in Institutions",x="Institutions",y="Frequency")
g<-g+theme_bw()
g<-g+theme(axis.text.x=element_text(angle=45,vjust=1,hjust=1))
g<-g+geom_text(aes(label=paste(round(percent,digits=2),"%",sep="")),size = 3, hjust = 0.5, vjust = -1, position ="stack")
print(g)
## ymax not defined: adjusting position using y instead

Now analyzing and generating histogram for trust characteristics for Individual

library(ggplot2)
trustPeople<-data.frame(Col=unlist(data[,57:61]))
trustPeople<-as.data.frame(trustPeople[!is.na(trustPeople$Col),])
names(trustPeople)<-c("x")
#sort(unique(bq21))
d<-count(trustPeople)
#find percent and mean of frequency
y<-cbind(d,"percent"=d[,2]/sum(d[2])*100)
y<-as.data.frame(y)
#order according to freq and preserve order for plotting
#not done for this because variable label looks garbage
#y<-y[order(y$freq),]
#y$x<-factor(y$x,levels=y$x,ordered=TRUE)

y
##                          x freq     percent
## 1               Don't Know   31  0.45736205
## 2               Good/Great  173  2.55237533
## 3                   Honest  677  9.98819711
## 4                  Liberal   32  0.47211567
## 5  Laborious / Industrious  523  7.71614045
## 6                Efficient  149  2.19828858
## 7              Responsible   53  0.78194158
## 8          Power deligator    6  0.08852169
## 9              Accountable   57  0.84095603
## 10                 Neutral   24  0.35408675
## 11      Rich / Independent   60  0.88521688
## 12               Patriotic    3  0.04426084
## 13               Religious   91  1.34257893
## 14              Benevolent   50  0.73768073
## 15    Idealastic / ethical  207  3.05399823
## 16              Leadership   16  0.23605783
## 17                 Justice   15  0.22130422
## 18     Educated / Academic  310  4.57362054
## 19       Relative / Friend  474  6.99321334
## 20             Transparent   63  0.92947772
## 21                 Logical   17  0.25081145
## 22               Behaviour 1281 18.89938035
## 23               Practical  143  2.10976689
## 24        Known / Familiar  335  4.94246090
## 25         Corruption Free   35  0.51637651
## 26                Kindness  162  2.39008557
## 27      Creative / Genuine   35  0.51637651
## 28        Service Delivery   97  1.43110062
## 29                Security   28  0.41310121
## 30                  Social  124  1.82944821
## 31   Helpful / Cooperative  324  4.78017114
## 32     Constitutional Body   37  0.54588374
## 33          Troubleshooter   10  0.14753615
## 34                 Popular   81  1.19504279
## 35            Truthfulness  524  7.73089407
## 36                   Other  531  7.83416937
#plot(y$x,y$freq)
g<-ggplot(y,aes(x,percent,order=percent))
g<-g+geom_bar(color="Red",fill="Salmon",stat="identity")
g<-g+labs(title="Trust characteristics for individual",x="Trust Basis",y="Percent")
g<-g+theme_bw()
g<-g+theme(axis.text.x=element_text(angle=45,vjust=1,hjust=1))
g<-g+geom_text(aes(label=paste(round(percent,digits=2),"%",sep="")),size = 3, hjust = 0.5, vjust = -1, position ="stack")
print(g)
## ymax not defined: adjusting position using y instead

Now analyzing and generating histogram for trust basis for Institution

trustInst<-data.frame(Col=unlist(data[,62:66]))
trustInst<-as.data.frame(trustInst[!is.na(trustInst$Col),])
names(trustInst)<-c("x")
#clean data
#trustInst<-trustInst[trustInst<38,1]

#sort(unique(bq21))
d<-count(trustInst)
#find percent and mean of frequency
y<-cbind(d,"percent"=d[,2]/sum(d[2])*100)
y<-as.data.frame(y)
#order according to freq and preserve order for plotting
#not done for this because variable label looks garbage
#y<-y[order(y$freq),]
#y$x<-factor(y$x,levels=y$x,ordered=TRUE)

y
##                          x freq     percent
## 1               Don't Know   69  0.97789116
## 2               Good/Great   31  0.43934240
## 3                   Honest  315  4.46428571
## 4                  Liberal   48  0.68027211
## 5  Laborious / Industrious  610  8.64512472
## 6                Efficient  366  5.18707483
## 7              Responsible  104  1.47392290
## 8          Power deligator   38  0.53854875
## 9              Accountable  301  4.26587302
## 10                 Neutral  200  2.83446712
## 11      Rich / Independent   33  0.46768707
## 12               Patriotic   46  0.65192744
## 13               Religious    6  0.08503401
## 14              Benevolent   77  1.09126984
## 15    Idealastic / ethical  220  3.11791383
## 16              Leadership   76  1.07709751
## 17                 Justice  231  3.27380952
## 18     Educated / Academic   59  0.83616780
## 19       Relative / Friend   62  0.87868481
## 20             Transparent  327  4.63435374
## 21                 Logical    7  0.09920635
## 22               Behaviour  250  3.54308390
## 23               Practical   76  1.07709751
## 24        Known / Familiar   42  0.59523810
## 25         Corruption Free  257  3.64229025
## 26                Kindness   31  0.43934240
## 27      Creative / Genuine   17  0.24092971
## 28        Service Delivery 1312 18.59410431
## 29                Security  394  5.58390023
## 30                  Social   64  0.90702948
## 31   Helpful / Cooperative  330  4.67687075
## 32     Constitutional Body  124  1.75736961
## 33          Troubleshooter   85  1.20464853
## 34                 Popular   85  1.20464853
## 35            Truthfulness  154  2.18253968
## 36                   Other  609  8.63095238
g<-ggplot(y,aes(x,percent))
g<-g+geom_bar(color="Red",fill="Salmon",stat="identity")
g<-g+labs(title="Trust Basis for Institutions",x="Quality",y="Percent")
g<-g+theme_bw()
g<-g+theme(axis.text.x=element_text(angle=45,vjust=1,hjust=1))
g<-g+geom_text(aes(label=paste(round(percent,digits=2),"%",sep="")),size = 3, hjust = 0.5, vjust = -1, position ="stack")
print(g)
## ymax not defined: adjusting position using y instead

Comparing multiple variables

Gender vs bribe asked

qplot(data$bq33,data=data,fill=data$aq1,xlab="Have You ever been asked for bribe?")

Should follow Parents order vs Level of corruption

qplot(data$bq32b,data=data,fill=data$bq18a,xlab="Level of Corruption")

Should follow high officials vs Level of corruption

qplot(data$bq32b,data=data,fill=data$bq18b,xlab="Level of Corruption")

Should follow rich and powerful vs Level of corruption

qplot(data$bq32b,data=data,fill=data$bq18c,xlab="Level of Corruption")

All the data

All the data is not necessary to print on html file. It will be printed on csv file, which can be further processed in any data analysis software.